Faculty of Applied Health Sciences, University of Waterloo, Waterloo, Ontario.
Can J Psychiatry. 2010 Oct;55(10):653-61. doi: 10.1177/070674371005501004.
To compare the performance of depressed patients to healthy control subjects on discrete cognitive domains derived from factor analysis and to examine the factors that may influence the performance of depressed patients on cognitive domains in a large sample.
We compared the cognitive performance of 149 patients with major depression to 104 healthy control subjects using multivariate ANCOVA. We used principal component factor analysis to group the cognitive variables into cognitive domains. Finally, we conducted regression analysis to examine the contribution of predictor factors to the cognitive domains that were impaired in the depressed group.
Verbal memory and speed of processing were impaired in depressed patients, compared with healthy control subjects. Patient IQ, duration of depressive illness, and number of hospitalizations significantly contributed to the performance of patients on verbal memory and speed of processing. The severity of mood symptoms did not correlate with performance on any cognitive domain.
Understanding the factors that predict cognitive performance of patients with depression may provide an insight into the processes by which depression leads to cognitive dysfunction. Our study showed that premorbid IQ and factors related to burden of illness are strong independent predictors of cognitive dysfunction in patients with major depression.
比较来自因子分析的离散认知领域中抑郁患者与健康对照者的表现，并研究可能影响大量抑郁患者在认知领域表现的因素。
我们使用多元方差分析比较了 149 名重性抑郁患者和 104 名健康对照者的认知表现。我们使用主成分因子分析将认知变量分为认知领域。最后，我们进行回归分析，以检查预测因素对抑郁组受损认知领域的贡献。
与健康对照组相比，抑郁患者的言语记忆和处理速度受损。患者的智商、抑郁病期和住院次数显著影响患者在言语记忆和处理速度方面的表现。情绪症状的严重程度与任何认知领域的表现均无相关性。
了解预测抑郁患者认知表现的因素可能有助于深入了解抑郁导致认知功能障碍的过程。我们的研究表明，病前智商和与疾病负担相关的因素是重性抑郁患者认知功能障碍的强有力独立预测因素。
